Triple
T493968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Residence of the Prime Minister of Japan |
E10248
|
entity |
| Predicate | previousBuildingCompleted |
P1511
|
FINISHED |
| Object | 1929 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1929 | Statement: [Official Residence of the Prime Minister of Japan, previousBuildingCompleted, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousBuildingCompleted Context triple: [Official Residence of the Prime Minister of Japan, previousBuildingCompleted, 1929]
-
A.
constructionCompleted
chosen
Indicates that a construction process or project has been fully finished and reached its completed state.
-
B.
successorBuildingOnSite
Indicates that one building directly replaces another on the same physical site or location.
-
C.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
D.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
E.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf90ca88190b6a182e5b6733612 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.